Text Generation
PEFT
TensorBoard
Safetensors
English
unsloth
trl
sft
lora
function-calling
mobile-actions
on-device
lfm2
lfm2.5
hf_jobs
conversational
Instructions to use kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("LiquidAI/LFM2.5-1.2B-Instruct") model = PeftModel.from_pretrained(base_model, "kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download tokenizer.json from kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions: direct link, hf CLI and curl.
- Browser
- Download file 4.73 MB
-
https://huggingface.co/kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions/resolve/main/tokenizer.json
- Command line
-
hf download hf://kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/kshitijthakkar/LFM2.5-1.2B-Instruct-mobile-actions/resolve/main/tokenizer.json
4.73 MB
File too large to display, you can check the raw version instead.